A classical approach to combine different sensors is the KF [1]}, where inference in a LDS is carried out to estimate all latent variables of interest; such as positions, velocities or accelerations, based on noisy measurement data. Extending this concept to DSW allows us to weight the contributions of each input based on their instantaneous reliability. This concept was originally proposed in the context of audiovisual ASR [2]}, and has proven valuable for speaker identification [3]}, but was also recently adopted for speaker localization and tracking [4]}, [5]}.
